Challenges in Web Bot Detection and Detection Evasion Technologies

Kazuki Yasuhara, Naoki Kodama, Takamichi Saito

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Web bots are automated programs designed to execute tasks on the Internet. Typically, Web bots are utilized to crawl search engines, increasing hit rates during user searches and ensuring that websites function correctly. However, some Web bots have been misused for malicious activities, such as hoarding goods and launching brute force attacks. Various methods for detecting Web bots have been developed and studied to combat such misuse. Conversely, techniques to circumvent these detection methods have also been explored. In this paper, we examine Web bot detection methods and the corresponding evasion techniques, drawing on information from contemporary Web bot-related research papers and technical blogs authored by experts in the field. Specifically, we assess the effectiveness of browser fingerprinting techniques within the context of Web bot detection and discuss the inherent challenges associated with this detection.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages162-173
Number of pages12
DOIs
Publication statusPublished - 2024

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume224
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

Fingerprint

Dive into the research topics of 'Challenges in Web Bot Detection and Detection Evasion Technologies'. Together they form a unique fingerprint.

Cite this